A Conversation with Tomer Cohen, Former Chief Product Officer, LinkedIn
TL;DR
Former LinkedIn CPO Tomer Cohen explains how AI is rendering traditional functional roles obsolete in favor of "full stack builders," warns that mid-career professionals face the highest displacement risk due to change aversion, and argues that organizational survival requires adopting a beginner's mindset as technological change outpaces best practices.
🎯 The Mid-Career Trap and AI Fluency 3 insights
Mid-career professionals face highest AI displacement risk
LinkedIn data predicts 70% of job skills will change by 2030, making experienced workers who rely on established best practices the most vulnerable group to AI disruption.
Early career talent demonstrates superior AI adaptability
Unlike mid-career workers, early talent exhibits high AI fluency and agency, readily adopting ways of working that have not been invented yet without legacy workflows to unlearn.
Success requires abandoning coasting for uncomfortable growth
Avoid companies where your old role still exists; instead seek environments where AI has redefined the job and you feel uncomfortable learning new methods.
🏗️ Organizational Evolution: From Specialists to Builders 3 insights
LinkedIn replaces functional silos with full-stack builders
The company is collapsing traditional PM-engineer-design roles into "product builders" who own end-to-end development from coding to market launch.
Organizations shift from armies to Navy Seal teams
Rather than hiring specialists for every sub-function, Cohen advocates small autonomous teams capable of handling emerging priorities without rigid role definitions.
Transformation struggles most with middle management adaptation
Change succeeds at the top and bottom of the org chart, but mid-level managers resist abandoning the expertise and processes that define their current value.
⚡ The Pace of Change and Strategic Response 3 insights
AI innovation outpaces organizational best practice development
Unlike previous decades where workflows stabilized for years, current AI velocity requires continuous adaptation because best practices become obsolete faster than they can be established.
GPT-4 capabilities instantly obsolete existing product roadmaps
After witnessing GPT-4 in Fall 2022, Cohen asked teams to rebuild roadmaps with the technology in mind, but 99% returned with identical plans showing profound strategic inertia.
Human change aversion exceeds technological limitation barriers
The primary barrier to AI integration is not capability but human resistance, as even AI-savvy professionals default to familiar workflows rather than reimagining their work.
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